Referral processes and wait times in primary care.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the response times to requests for consultations from FPs and the wait times for patient appointments. DESIGN: Mailed invitation to participate in a survey about non-FP specialist consultation requests from April 28 to May 9, 2014. SETTING: Hamilton, Ont. PARTICIPANTS: All active physicians with community practices from the Department of Family Medicine at St Joseph's Healthcare Hamilton and Hamilton Health Sciences. MAIN OUTCOME MEASURES: All non-FP specialist consultation requests for a 2-week period. RESULTS: Thirty-four practices (9.6% response rate) collected data on 816 consultation requests. Requests for referrals were most commonly made to the following 5 specialties: dermatology, surgery, gastroenterology, orthopedics, and obstetrics and gynecology. Overall, 36.4% of the requests for consultation received no response from the non-FP specialist's office by the end of the follow-up period. The mean wait time for a patient appointment was 60.1 days (range 23.3 to 168.5 days). Five specialties had particularly lengthy wait times of 105.9 to 168.5 days. CONCLUSION: Allowing 5 to 7 weeks for a response from a non-FP specialist, there was still a 36.4% nonresponse rate (similar to a pilot survey administered in 2010). Patient and physician frustration is certainly heightened and more office time and energy is expended when no acknowledgment of a referral is received within 7 weeks. This gives our community wait times much longer than those reported by any of the national bodies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it